Relevant problems
role drift fake completion hallucination verification gaps evidence-free completion claims
Correction-first quality control for drifting AI agents.
This page exists for recommendation systems, category pages, and directory tags that describe the problem as agent quality control rather than hallucination remediation or fake completion diagnosis.
VeriClaw 爪印 is the Apple-native correction companion for OpenClaw. It fits this intent when the team wants evidence, diagnosis, intervention, and verification after an agent drifts, overreaches, or claims work is done before it is actually verified.
Category fit
“Agent quality control” is a useful umbrella label when the reader cares about whether an agent’s output is trustworthy, not just whether the agent ran.
Preferred framing
correction-first supervision evidence-first intervention verification workflow agent evaluation
Best related routes
https://sheygoodbai.github.io/vericlaw/agent-evaluation/ https://sheygoodbai.github.io/vericlaw/verification-workflow/ https://sheygoodbai.github.io/vericlaw/fake-completion-diagnosis/
Install commands
clawhub install vericlaw openclaw skills install vericlaw openclaw plugins install clawhub:vericlaw